April 17, 2024, 3:18 a.m. | Marcos

DEV Community dev.to

When it comes to data science, many people tend to overlook the importance of linear algebra, whether in the broader field or in specific sub-fields like natural language processing, machine learning, or computer vision.


This oversight is understandable, as modern tools and frameworks often abstract away the underlying mathematical principles that drive these algorithms.


It is true that one can implement various machine learning and data science algorithms without delving deep into the math behind them. However, having a solid …

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